We have modelled this system by cellular automata on a regular grid, as we believe this is the most suitable description.
This model based on automata formalism is built from the design data.
The automata-based methods transform temporal formulae into automata on infinite words (for linear time logics) or infinite trees (for branching time logics) and represent models for the logics as respective input objects (infinite words or trees) for their associated automata.
Future landscape change simulation was undertaken by using cellular automata modeling on Dynamic Environment for Geoprocessing Objects (Dinamica EGO) software.
The Runoff Model Based on Cellular Automata (RunCA) has been developed to simulate surface runoff at different scales by integrating basic cellular automata (CA) rules with fundamental measureable hydraulic properties.
The 2020 land use/cover was predicted using Markov Chain and Cellular Automata models based on 2006 and 2013 land use/covers.
Simulation of the future afro-alpine ecosystem was made by using cellular automata modeling technique on Dinamica Environment for Geoprocessing Objects (Dinamica EGO).
Moreover, scholars have put forward a series of pedestrian flow models for the researches in crowd behavior and characteristic, such as cellular automata model, magnetic force model, queuing model, social force model [ 6], small world network [ 7- 9] and so on.
We use a hybrid model based on hybrid automata to model the network.
In this paper, a model based on Cellular Automata (CAs) for predicting wildfire spreading is presented.
